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Item #1
Datenbewusstsein
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Datenbewusstsein
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Item #2
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- Listenelement #1
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- Listenelement #3
| Phase | Inhalt | Ziele | Material |
|---|---|---|---|
|
1a |
Einführung in den Interaktionskontext und Problematisierung Didaktischer Kommentar |
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|
1a |
Einführung in den Interaktionskontext und Problematisierung Didaktischer Kommentar |
|
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Aktuell gibt es keine neuen Termine. Wir werden Sie aber in Zukunft hier darüber informieren.
Session 13 - Part 1: Vince Geiger (Australia)
Vince Geiger (Australia)
Part 1: Evaluating media claims about sustainability through the use of large data sets
- 24.01.2024
- 16.00-17.30 Uhr (UTC+1)
Session 13 - Part 2: Devin W. Silvia (USA)
Devin W. Silvia (USA)
Part 2: A learner-centered approach to teaching computational modeling, data analysis, and programming
- 24.01.2024
- 17.30-19.00 Uhr (UTC+1)
Session 14 - Part 1: Ismaila Sanusi (Finland)
The Role of Data in Artificial Intelligence Literacy in school education
- 17.04.2024
- 16.00-17.30 Uhr (UTC+2)
Session 14 - Part 2: Yasmin B. Kafai & Luis Morales-Navarro (USA)
High School Youth Peer Auditing of Machine Learning-Powered Applications to Promote Computational Literacies
- 17.04.2024
- 17.30-19.00 Uhr (UTC+2)
Session 15 - Part 1: Josephine Louie (USA)
Supporting critical data literacy for civic engagement and social justice
- 19.06.2024
- 16.00-17.00 Uhr (UTC+2)
Session 15 - Part 2: Joachim Engel (Germany)
Critical data literacy for democracy education
- 19.06.2024
- 17.10-18.10 Uhr (UTC+2)
Session 10 - Part 1: Tor Ole Odden (Norway)
Tor Ole Odden (Norway)
Part 1: Using Computational Essays to Support Student Creativity and Agency in Science - Tor Ole Odden (Norway)
- 18.01.2023
- 17.00-19.30 Uhr (UTC+1)
Session 09 - Part 1: Nick Horton (USA)
Nick Horton (USA)
Part 1: Teaching reproducibility and responsible workflows - Nick Horton (USA)
- 18.01.2023
- 17.00-18.30 Uhr (UTC+1)
Session 10 - Part 2: Tom Button and Ian Dickerson (UK)
Tom Button and Ian Dickerson (UK)
Part 2: Design decisions in creating short data science courses for pre-university students - Tom Button and Ian Dickerson (UK)
- 18.01.2023
- 18.30-19.30 Uhr (UTC+1)
Session 09 - Part 2: Francine Berman (USA)
Francine Berman (USA)
Part 2: Teaching Social Responsibility for a Tech-Powered World - Francine Berman (USA)
- 18.01.2023
- 18.30-20.00 Uhr (UTC+1)
Session 11 - Part 1: Martin Frank and Sarah Schönbrodt (Germany)
Martin Frank and Sarah Schönbrodt (Germany)
Part 1: How much mathematical modeling is in AI? - Martin Frank and Sarah Schönbrodt (Germany)
- 17.05.2023
- 16.00-17.30 Uhr (UTC+2)
Session 11 - Part 2: Dani Ben-Zvi (Israel)
Dani Ben-Zvi (Israel)
Part 2: Reasoning with Data in School-Based Citizen Science - Dani Ben-Zvi (Israel)
- 17.05.2023
- 17.30-19.00 Uhr (UTC+2)
Session 12 - Part 1: Henning Wachsmuth (Germany)
Henning Wachsmuth (Germany)
Part 1: NLP Research in the Age of Large Language Models – Henning Wachsmuth
- 29.11.2023
- 16.00-17.30 Uhr (UTC+1)
Session 12 - Part 2: Travis Weiland (USA)
Travis Weiland (USA)
Part 2: Reading and Writing the World with Data - Travis Weiland (USA)
- 29.11.2023
- 17.30-19.00 Uhr (UTC+1)
Session 03 - Part 1: Graham Dove (USA)
Graham Dove (USA)
Part 1: Learning data science through civic engagement with open data - Graham Dove (USA)
- 02.01.2022
- 16.00-17.30 Uhr (UTC+1)
Session 03 - Part 2: Rob Gould (USA)
Rob Gould (USA)
Part 2: Why should students take a data science course? - Rob Gould (USA)
- 02.01.2022
- 17.30-19.00 Uhr (UTC+1)
Session 04 - Part 1: Arnold Pears (Sweden)
Arnold Pears (Sweden)
Part 1: Why Computing Education, and Especially CT, Needs a Broader Perspective! - Arnold Pears (Sweden)
- 01.04.2022
- 16.00-17.30 Uhr (UTC+2)
Session 04 - Part 2: Jim Ridgway (England)
Jim Ridgway (England)
Part 2: Education for a fast-changing world: Conceptions of Statistical Literacy and Data Science - Jim Ridgway (England)
- 01.04.2022
- 17.30-19.00 Uhr (UTC+2)
Session 05 - Part 1: Lukas Höper and Carsten Schulte (Germany)
Lukas Höper and Carsten Schulte (Germany)
Part 1: Data Awareness: Be aware of the data! - Lukas Höper and Carsten Schulte (Germany)
- 18.05.2022
- 16.00-17.30 Uhr (UTC+2)
Session 05 - Part 2: Orit Hazzan and Koby Mike (Israel)
Orit Hazzan and Koby Mike (Israel)
Part 2: Teaching Core Principles of Machine Learning with a Simple Machine Learning Algorithm: The Case of the KNN Algorithm - Orit Hazzan and Koby Mike (Israel)
- 18.05.2022
- 17.30-19.00 Uhr (UTC+2)
Session 06 - Part 1: Marc Hauer (Germany)
Marc Hauer (Germany)
Part 1: My AI discriminates? How could this happen and who is to blame? - Marc Hauer (Germany)
- 02.06.2022
- 16.00-17.30 Uhr (UTC+2)
Session 06 - Part 2: Michelle Hoda Wilkerson (USA)
Michelle Hoda Wilkerson (USA)
Part 2: A Framework for Exploring the Purposes and Processes of Data Wrangling in Complex Self-Directed Analysis Tasks - Michelle Hoda Wilkerson (USA)
- 02.06.2022
- 17.30-19.00 Uhr (UTC+2)
Session 07 - Part 1: Conrad Wolfram (England)
Conrad Wolfram (England)
Part 1: Roadmap to Computational Thinking for the AI age: A challenge for Mathematics and Computer Science Education - Conrad Wolfram (England)
- 02.11.2022
- 17.00-18.30 Uhr (UTC+1)
Session 07 - Part 2: Sven Hüsing, Carsten Schulte and Dan Verständig (Germany)
Sven Hüsing, Carsten Schulte and Dan Verständig (Germany)
Part 2: Epistemic Programming and Creative Coding: Programming as an Empowering Means for Self-Expression and Communication - Sven Hüsing, Carsten Schulte and Dan Verständig (Germany)
- 02.11.2022
- 18.30-20.00 Uhr (UTC+1)
Session 08 - Part 1: Ute Schmid (Germany)
Ute Schmid (Germany)
Part 1: Learning About and Learning with Artificial Intelligence in School: From Understanding of Basic AI Concepts to Trustworthy and Human-centric AI Tools - Ute Schmid (Germany)
- 07.12.2022
- 17.00-18.30 Uhr (UTC+1)
Session 08 - Part 2: Jane Waite (England)
Jane Waite (England)
Part 2: A hands-on workshop to develop a set of potential goals for learning about AI - Jane Waite (England)
- 07.12.2022
- 18.30-20.00 Uhr (UTC+1)
Session 01 - Part 1: Jan Mokros and Bill Finzer (USA)
Jan Mokros and Bill Finzer (USA)
Part 1: Data Detective Clubs in the Time of COVID-19 - Jan Mokros and Bill Finzer (USA)
- 27.10.2021
- 16.00-17.00 Uhr (UTC+1)
Session 01 - Part 2: Matti Tedre and Henriikka Vartiainen (Finland)
Matti Tedre and Henriikka Vartiainen (Finland)
Part 2: Teaching machine learning in school: Some emerging research trajectories - Matti Tedre and Henriikka Vartiainen (Finland)
- 27.10.2021
- 17.30-18.30 Uhr (UTC+1)
Session 02 - Part 1: Tobias Matzner (Germany)
Tobias Matzner (Germany)
Part 1: Beyond Bias. Locating questions of injustice in Data Science and Artificial Intelligence - Tobias Matzner (Germany)
- 24.11.2021
- 16.00-17.30 Uhr (UTC+1)
Session 02 - Part 2: Rolf Biehler and Yannik Fleischer (Germany)
Rolf Biehler and Yannik Fleischer (Germany)
Part 2: Bringing together statistics and computer science education: Machine learning by decision trees grounded in students’ data exploration experiences - Rolf Biehler and Yannik Fleischer (Germany)
- 24.11.2021
- 17.30-18.30 Uhr (UTC+1)
Aktuell gibt es keine neuen Termine. Wir werden Sie aber in Zukunft hier darüber informieren.
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Using Worked Examples for Engaging in Epistemic Programming Projects
Revisiting Fundamental Ideas for Statistics Education From the Perspective of Machine Learning and Its Applications.
Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics.
Editorial: Research on Data Science Education.
Statistics Education Research Journal, 21(2)
https://doi.org/10.52041/serj.v21i2.606
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